| 摘要: |
| 提出一种模型观察方法,可自动地生成观察序列,实现对模型的由全局到局部的优化观察.基于层次骨架树的建立,该方法将模型的全局特征、局部特征和细节特征进行层次化的有序组织.由此,可生成不同层次特征的观察视点,且有效表达它们之间的关联性,以较好地符合人脑对模型的认知方式,减少人工交互选择视点的盲目性,提高认知效率.实验表明,与人工交互的视点选择方法相比,该观察方法节约一半以上的时间,并显著地降低认知识错误率. |
| 关键词: 视点选择 骨架 三维模型 高效 |
| DOI： |
| 分类号: |
| 基金项目:Supported by the National Natural Science Foundation of China under Grant Nos.60773026, 60873182, 60833007 (国家自然科学基金) |
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| Skeleton-Based Viewing Method for Efficient Understanding of 3D Models |
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YANG Li-Ming1,2, WANG Wen-Cheng1
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1.State Key Laboratory of Computer Science, Institute of Software, The Chinese Academy of Sciences, Beijing 100190, China;2.Graduate University, The Chinese Academy of Sciences, Beijing 100049, China
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| Abstract: |
| A new viewing method is proposed to automatically produce good viewpoints, to implement the progressive investigation from global to local for a 3D model. With hierarchical skeletons, the method can efficiently manage the global features, local features and details, and guided by the skeletons, produce good viewpoints to view these features with the interrelations among them represented well. In this way, the mechanism for human beings to understand a 3D model is well fitted, and many views can be reduced for promoting the understanding efficiency, in comparison with interactive selection of views. By experiments, compared with the general way to recognize a model through interactive selection of views, the new method can reduce the watching time by more than half, and reduce the recognition errors significantly. |
| Key words: view selection skeleton 3D model high efficiency |
